An energy-aware service composition algorithm for multiple cloud-based IoT applications

T Baker, M Asim, H Tawfik, B Aldawsari… - Journal of Network and …, 2017 - Elsevier
There has been a shift in research towards the convergence of the Internet-of-Things (IoT)
and cloud computing paradigms motivated by the need for IoT applications to leverage the …

SDTIOA: modeling the timed privacy requirements of IoT service composition: a user interaction perspective for automatic transformation from BPEL to timed automata

H Gao, Y Zhang, H Miao, RJD Barroso… - Mobile Networks and …, 2021 - Springer
With the development of the Internet of Things (IoT) and the Internet, new kinds of services
based on IoT devices will benefit everyone. As a key step in achieving a complex business …

Language identification using Gaussian mixture model tokenization

PA Torres-Carrasquillo, DA Reynolds… - … on acoustics, speech …, 2002 - ieeexplore.ieee.org
Phone tokenization followed by n-gram language modeling has consistently provided good
results for the task of language identification. In this paper, this technique is generalized by …

A privacy-preserving QoS prediction framework for web service recommendation

J Zhu, P He, Z Zheng, MR Lyu - 2015 IEEE international …, 2015 - ieeexplore.ieee.org
QoS-based Web service recommendation has recently gained much attention for providing
a promising way to help users find high-quality services. To facilitate such …

Privacy-aware cloud service composition based on QoS optimization in Internet of Things

P Asghari, AM Rahmani, HHS Javadi - Journal of Ambient Intelligence and …, 2022 - Springer
With the advent of Internet of Things (IoT), cloud service composition problem has gotten
more complex along with the composition of large number of cloud services and numerous …

Towards privacy preserving AI based composition framework in edge networks using fully homomorphic encryption

MS Rahman, I Khalil, M Atiquzzaman, X Yi - Engineering Applications of …, 2020 - Elsevier
We present a privacy-preserving framework for Artificial Intelligence (AI) enabled
composition for the edge networks. Edge computing is a very promising technology for …

Privacy-preserving for the internet of things in multi-objective task scheduling in cloud-fog computing using goal programming approach

A Najafizadeh, A Salajegheh, AM Rahmani… - Peer-to-Peer Networking …, 2021 - Springer
Abstract For the Internet of Things (IoT) that have low processing power, fog computing can
play an essential role as a processing resource to execute their tasks. Timely execution of …

Matrix pencil method and its performance

Y Hua, TK Sarkar - … Conference on Acoustics, Speech, and Signal …, 1988 - computer.org
In recent years, service-oriented computing has been successfully adopted by the industry
and used in numerous projects. This raises however new challenges, especially with …

Privacy preserving service selection using fully homomorphic encryption scheme on untrusted cloud service platform

MS Rahman, I Khalil, A Alabdulatif, X Yi - Knowledge-Based Systems, 2019 - Elsevier
In this paper, we present a privacy-preserving service selection framework for cloud-based
service systems. In the cloud-based service system, a cloud provider selects the best service …

Modelling trust and risk for cloud services

E Cayirci, AS De Oliveira - Journal of Cloud Computing, 2018 - Springer
A joint trust and risk model is introduced for federated cloud services. The model is based on
cloud service providers' performance history. It addresses provider and consumer concerns …